The Natural Science Underlying Big History
نویسنده
چکیده
Nature's many varied complex systems-including galaxies, stars, planets, life, and society-are islands of order within the increasingly disordered Universe. All organized systems are subject to physical, biological, or cultural evolution, which together comprise the grander interdisciplinary subject of cosmic evolution. A wealth of observational data supports the hypothesis that increasingly complex systems evolve unceasingly, uncaringly, and unpredictably from big bang to humankind. These are global history greatly extended, big history with a scientific basis, and natural history broadly portrayed across ∼14 billion years of time. Human beings and our cultural inventions are not special, unique, or apart from Nature; rather, we are an integral part of a universal evolutionary process connecting all such complex systems throughout space and time. Such evolution writ large has significant potential to unify the natural sciences into a holistic understanding of who we are and whence we came. No new science (beyond frontier, nonequilibrium thermodynamics) is needed to describe cosmic evolution's major milestones at a deep and empirical level. Quantitative models and experimental tests imply that a remarkable simplicity underlies the emergence and growth of complexity for a wide spectrum of known and diverse systems. Energy is a principal facilitator of the rising complexity of ordered systems within the expanding Universe; energy flows are as central to life and society as they are to stars and galaxies. In particular, energy rate density-contrasting with information content or entropy production-is an objective metric suitable to gauge relative degrees of complexity among a hierarchy of widely assorted systems observed throughout the material Universe. Operationally, those systems capable of utilizing optimum amounts of energy tend to survive, and those that cannot are nonrandomly eliminated.
منابع مشابه
From Darwin to the Census of Marine Life: Marine Biology as Big Science
With the development of the Human Genome Project, a heated debate emerged on biology becoming 'big science'. However, biology already has a long tradition of collaboration, as natural historians were part of the first collective scientific efforts: exploring the variety of life on earth. Such mappings of life still continue today, and if field biology is gradually becoming an important subject ...
متن کاملData Science and Distributed Intelligence: Recent Developments and Future Insights
Big Data, Data Science and MapReduce are three keywords that have flooded our research papers and technical articles during the last two years. Also, due to the inherent distributed nature of computational infrastructures supporting Data Science (like Clouds and Grids), it is natural to view Distributed Intelligence as the most natural underlying paradigm for novel Data Science challenges. Foll...
متن کاملThe experimenter's museum: GenBank, natural history, and the moral economies of biomedicine.
Today, the production of knowledge in the experimental life sciences relies crucially on the use of biological data collections, such as DNA sequence databases. These collections, in both their creation and their current use, are embedded in the experimentalist tradition. At the same time, however, they exemplify the natural historical tradition, based on collecting and comparing natural facts....
متن کاملComment on "Data Science and its Relationship to Big Data and Data-Driven Decision Making".
Companies have realized they need to hire data scientists, academic institutions are scrambling to put together data-science programs, and publications are touting data science as a hot-even "sexy"-career choice. However, there is confusion about what exactly data science is, and this confusion could lead to disillusionment as the concept diffuses into meaningless buzz. In this article, we argu...
متن کاملComputational perspectives in the history of science: to the memory of Peter Damerow.
Computational methods and perspectives can transform the history of science by enabling the pursuit of novel types of questions, dramatically expanding the scale of analysis (geographically and temporally), and offering novel forms of publication that greatly enhance access and transparency. This essay presents a brief summary of a computational research system for the history of science, discu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 2014 شماره
صفحات -
تاریخ انتشار 2014